I am making a select from a table that has alums, but those alums can have a "level" being 01, 02, 03, 04, 05 or 99 and if I select a distinct(code) there will be 2 or 3 files of the same "code" with different "level". I want to be able to ONLY get the "code" with the higher "level" anytime.
Example of my code:
select
Level,
count(Code) as Atendee,
count(CASE WHEN CodPlace = 01 THEN (Atendee) ELSE null END ) as AtendeeCho,
count(CASE WHEN CodPlace = 02 THEN (Atendee) ELSE null END ) as AtendeeSB,
count(CASE WHEN CodPlace = 14 THEN (Atendee) ELSE null END ) as AtendeeIca
from #TempoPar
group by Level
order by Level
And here is the result:
Level Atendee AtendeeCho AtendeeSB AtendeeIca
1 3 2 0 1
2 0 0 0 0
3 2 2 0 0
99 1 1 0 0
Problem is that the one who is in AtendeeCho from level 1, 2 and 99 is the same person and he should only be on 99 or 3 if he wasn't on 99.
Thanks in advance!
Data example:
Code ( user) Level Career CodPlace
12345 1 9 01
12345 3 15 01
12346 1 10 14
12347 1 10 01
12345 3 15 01
12347 99 15 01
Now, this is what I require:
From the data sample:
Code ( user) Level Career CodPlace
12345 3 15 01
12346 1 10 14
12347 99 15 01
In the final output with the corrected data it should be:
Level Atendee AtendeeCho AtendeeSB AtendeeIca
1 1 0 0 1
2 0 0 0 0
3 1 1 0 0
99 1 1 0 0
Related
I would like to create an annual sales report table by sales rep, showing all the twelve month. The data I have is more or less like in this example:
id | rep | date | price
----------------------------
1 1 2017-01-01 20
2 1 2017-01-20 44
3 2 2017-02-18 13
4 2 2017-03-08 12
5 2 2017-04-01 88
6 2 2017-09-05 67
7 3 2017-01-31 10
8 3 2017-06-01 74
The result I need would be like this:
Rep Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
----------------------------------------------------
1 64 0 0 0 0 0 0 0 0 0 0 0
2 0 13 12 88 0 0 0 0 67 0 0 0
3 10 0 0 0 0 74 0 0 0 0 0 0
What would be the most efficient way to write this query?
One way:
select rep,
sum(case when extract('month' from date) = 1 then price else 0 end ) as Jan,
sum(case when extract('month' from date) = 2 then price else 0 end ) as Feb
-- another months here
from t
group by rep
One way is to use windowed functions with FILTER:
SELECT DISTINCT
"rep",
COALESCE(SUM(price) FILTER (WHERE extract('month' from "date") = 1) OVER(PARTITION BY "rep"),0) AS Jan,
COALESCE(SUM(price) FILTER (WHERE extract('month' from "date") = 2) OVER(PARTITION BY "rep"),0) AS Feb
--....
FROM ta;
Rextester Demo
Warning!
You probably want to partition by YEAR too to avoid summing JAN 2017 and JAN 2018.
How to populate or display the result for each month?
I have a table with four columns
Plan Status Creation date Triggers
I need to get the results for each plan each month how many triggers count are there. my report should look like this.
Plan Jan feb march Apr may jun jul aug sep oct nov dec Totaol
001 2 0 1 1 0 1 1 1 2 3 1 7 21
002 2 0 1 1 0 1 1 1 2 3 1 7 21
003 2 0 1 1 0 1 1 1 2 3 1 7 21
Could you please help me out how to achieve this results?
Thanks in advance.
select
plan,
sum(case when datepart(mm,[Creation date]) = 1 then 1 else 0 end) as Jan,
sum(case when datepart(mm,[Creation date]) = 2 then 1 else 0 end) as Feb,
...
sum(triggers) as Total
from table
where Status = 'SomeStatus'
group by Plan
I have table like this, name: Table.dbo
Amount Desc Month SM code ID
$32,323.00 Bla1 1 121 3 2424221
$4,242.00 Bla2 1 A1 3 2424221
$3,535.00 Bla3 1 A3 1 3230824
$4,984.00 Bla4 1 433 1 3230824
$47,984.00 Bla5 1 B1 1 3230824
$3,472.00 Bla6 1 D2 27 2297429
$3,239.00 Bla7 1 124 27 2297429
$4,249.00 Bla8 1 114 24 3434334
$2,492.00 Bla9 1 132 24 3434334
$424.00 Bla10 2 232 3 2424221
$24,242.00 Bla7 2 124 3 2424221
$242,424 Bla4 2 433 1 3230824
$533.00 Bla13 2 235 1 3230824
$4,342.00 Bla14 2 223 1 3230824
$24,242.00 Bla15 2 224 27 2297429
$24,242.00 Bla1 2 121 27 2297429
$4,242.00 Bla17 2 432 24 3434334
$24,224.00 Bla9 2 132 24 3434334
I wrote this query :
select
[SM],
count(*) as TotalCntOfSM,
sum(case when [code] between 4 and 27 then 1 else 0 end) as TotalCntOfSM_R,
sum(case when [code] in (1,2,3) then 1 else 0 end) as TotalCntOfSM_B,
sum(case when [code] in (1) then 1 else 0 end) as TotalCntofSM_B1,
sum(case when [code] in (2) then 1 else 0 end) as TotalCntofSM_B2,
sum(case when [code] in (3) then 1 else 0 end) as TotalCntofSM_B3,
sum([Amount]) As TotalAmount
****[How can I sum the Amount for the SM if the code is between 4 and 27?** For example]**
from [Table]
group by [SM]
order by TotalCntOfSM desc
How can I sum the Amount for the SM if the code is between 4 and 27 or the code is in (1,2,3) only (For example).
Thank you very much!
Exactly like qxg said - Replace
****[How can I sum the Amount for the SM if the code is between 4 and 27?** For example]** `
with
sum(case when [code] between 4 and 27 then [Amount] else 0 end) as SMAmount
If you want to total up amount for code between 4 and 27 or for codes 1,2,3
sum(case when [code] between 1 and 27 then [Amount] else 0 end) as SMAmount
You can write the above also as
sum(case when [code] between 4 and 27 OR [code] in (1,2,3) then [Amount] else 0 end) as SMAmount
I have 2 tables T1 and T2.
T1 has the following columns:
Id, EntityId, TypeofValue, Year, value
EntityId can have 7 values:
1,2,3,4,5,100,101
Typeofvalue can have 2 values
1 indicates Actual
2 indicates Target
T2 has the following columns:
NoOfRecordsToDisplay
I need to fetch the number of records (if existing) for Target corresponding to an Id. The record count (1 if any record is present 0 if none) for Target needs to be grouped into two categories: First having Entityid 1 and Maximum records under Second group with entityids 2,3,4,100,101 [Not 5]
However, the catches are:
Sometimes Target value might not be present for a year
I need to get only last records for targets on the basis of NoOfRecordsToDisplay (The number of records to display comes from T2) for actual
Example1:
NoOfRecordsToDisplay =3, ID =123
The data below should return
CountGroup1: 1, Countgroup2: 1
as Entityid 1 has least one value for target for last 3 years -2015, 2014,2013 in this case
as Entityid 2 or 3 has at least 1 value for years -2015, 2014
Id EntityId TypeofValue Year Value
123 1 1 2015 55
123 1 1 2014 56
123 1 1 2013 57
123 1 1 2012 58
123 1 2 2015 50
123 1 2 2014 50
123 1 2 2013 50
123 1 2 2012 50
123 2 1 2015 55
123 2 1 2014 56
123 3 1 2015 57
123 3 1 2014 58
123 2 2 2015 55
123 2 2 2014 56
123 3 2 2015 57
124 1 1 2015 55
124 1 1 2014 56
124 2 1 2013 57
124 2 1 2012 58
124 1 2 2015 50
124 1 2 2014 50
124 2 2 2013 50
124 2 2 2012 50
Another dataset
NoOfRecordsToDisplay =3, ID =123
The data below should return:
CountGroup1: 0, Countgroup2: 1
as Entityid 1 has no target value for last 3 years (entityid 1 has a target value but for 2012)
as Entityid 2 has at one value for target years -2015 (entityid 3 has a target value but for 2010)
Id EntityId TypeofValue Year Value
123 1 1 2015 55
123 1 1 2014 56
123 1 1 2013 57
123 1 1 2012 58
123 1 2 2012 58
123 2 1 2015 55
123 2 1 2014 56
123 2 2 2015 55
123 2 2 2011 56
123 3 2 2010 57
Thank you so much for your help.
I have been trying to find this solution for a long time, I am not sure if Pivot will help
The question is different from the other one that I had posted as I am trying to create a group count based on entity groups.
i have Table PRICE
CodePrice CodeClient TheZone Tempo W_Begin W_End Price
A_0_49 88989 1 1 0 49 20
A_50_99 60000 1 1 50 99 10
B_0_49 88989 2 1 0 49 30
C_0_49 50000 3 4 0 49 40
Table Ordre
NoID CodeClient Cp Agence TheZone Tempo Weight
01 88989 44 bidon 1 1 12
02 60000 49 toto 2 2 10
03 60000 49 bigoi 1 1 56
04 88989 49 titi 3 3 8
05 50000 44 bidon 1 1 5
How can i show the result like this:
CodePrice TheZone Tempo W_Begin W_End SUm_Weight SUM_Price CountIDOrdre CP Agence
A_0_49 1 1 0 49 17 40 2 44 bidon
A_50_99 1 1 50 99 56 10 1 49 bigoi
B_0_49 2 1 0 49 0 0 0 null null
C_0_49 3 4 0 49 0 0 0 null null
in 1 SQL Syntax (1 Step).
Nowdays i make it in 2 step
SELECT CodePrice
,CodeClient
,TheZone
,Tempo
,W_Begin
,W_End
,Price
FROM PRICE
LEFT JOIN T_TARIF_ZONE ON PRICE.ZONE = T_TARIF_ZONE.NO_ID
LEFT JOIN CLIENT ON PRICE.CodeClient= CLIENT.CODE_CL
WHERE CodeClient= #NO_CLIENT AND TheZone = #ZONE AND UNITE = #UNITE
AND (Tempo IN (SELECT ParsedString From dbo.ParseStringList(#ModLiv)))
ORDER BY MONTANT
after i select the price, now i can group the ordre on each price depends on Weight, zone, and another variable
SELECT count(NoID) as LVId
,sum(Weight)as Tot_Poids
,sum(Price) as Tot_Prix
FROM [Ordre]
WHERE Weight>= #TR_DEB AND Weight<= #TR_FIN AND LE_ZONE = #LE_ZONE AND ENLEV_UNITE = #ENLEV_UNITE
AND DATE_CLOTURE >= #Date_Deb AND DATE_CLOTURE <= #Date_Fin AND STATUT_LV = 2 AND FACTURATION = #FACTURATION
HAVING count([NOID]) > 0